Zuse Institute Berlin (ZIB)zib.de
Researcher (f/m/d)
- Standort
- Berlin
- Remote
- Hybrid
- Anstellungsart
- Vollzeit, Befristet/Zeitarbeit
- Erfahrung
- Mid-Level
- Bereich
- Forschung & Wissenschaft
- Gehalt
- 61.194 bis 86.190 EUR/Jahr
- Bewerbungsfrist
- 14.10.2026
vor 1 Tag
Researcher (f/m/d)
Zuse-Institut Berlin
Full-time
Temporary
61,193.82 - 86,189.54 € per year
Position Details
Within the research group Interactive Optimization and Learning (IOL), Department AI in Society, Science, and Technology, we are offering a position, starting on November 1, 2026, on a full-time basis (39,4 hours per week), limited until May 31, 2027. If the applicant meets the relevant wage requirements and personal qualifications, the salary will be based on remuneration group 13 TV-L of the pay scale for the German public sector.
Background & Context
The goal of BMBF-funded research laboratory MODAL SynLab is the development and implementation of mathematical optimization algorithms for general problem classes, predominantly mixed-integer linear and nonlinear programs, and complex combinatorial structures that are motivated by real-world applications. To this end, we collaborate with partners from academia and industry, with the other MODAL labs, and with developers of state-of-the-art mixed-integer programming software. In conjunction with our own development of the SCIP Optimization Suite our group holds a high level of expertise in computational mathematical research and you can benefit from our modern software development environment and our team-oriented approach to research.
Your Tasks
Within this framework, you will conduct research in computational optimization and contribute to solving open scientific and algorithmic questions at the frontier of the field. Your tasks will include developing, analyzing, and implementing novel optimization methods and algorithms, as well as evaluating their performance on challenging computational problems. You will collaborate closely with our interdisciplinary research team and contribute to scientific publications, presentations, and the dissemination of research results.
Your Profile
- Excellent Master's degree (or equivalent) in mathematics, computer science, or a related discipline
- Solid background in integer programming or combinatorial optimization
- Excellent programming skills, e.g., in C, C++, or Julia
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